Abstract
Interpregnancy interval and maternal age are associated with birth outcomes. However, it is unknown regarding their long-term effects on child health. We aim to assess the associations between interpregnancy interval and offspring’s body mass index (BMI) and blood pressure (BP) at age of 7 years and to examine the role of maternal age in the associations. A secondary analysis was performed among 2604 mother-infant pairs in the prospective National Collaborative Perinatal Project, in which the children were followed up until 7 yrs of age. Interpregnancy interval was positively associated with offspring’s diastolic BP at 7 yrs (β = 0.053, 95% CI: 0.004–0.102) after adjusting for maternal and perinatal characteristics, feeding pattern, rapid weight gain in the first year of life, and current BMI z score and height z score. The inclusion of maternal age in the model did not change the effect size. Maternal age was independently associated with offspring’s BMI z score at 7 yrs (β = 0.014, 95% CI: 0.001–0.027). An interaction between interpregnancy interval and maternal age was present in the association with diastolic BP (P = 0.019), and the increasing maternal age aggravated the effects of long interpregnancy interval. Our finding suggests long interpregnancy interval is a risk factor for higher diastolic BP of the offspring. Increasing maternal age could amplify the impact. Our study challenges the current WHO recommendation for ideal interpregnancy interval, and we would suggest lowering the recommendation to <24 months and even shorter for women of advanced age.
Introduction
Since early 1920s, researchers have begun to investigate the impacts of interpregnancy interval, an interval between the birth of one child and the conception of the next, on perinatal outcomes [1]. Previous studies have linked short interpregnancy interval, <6 months, with adverse birth outcomes, including preterm birth [2, 3], low birth weight [2, 3], small size for gestational age [2, 4], congenital anomalies [5, 6], and infant mortality [2, 7]. Postpartum deficiencies in essential micronutrients and hormone imbalance were proposed to explain the associations [8, 9]. There is growing evidence that fetal and early life events have not only short term effects on fetal growth and perinatal outcome but also long-term impacts on individual’s health and disease susceptibility in later life [10, 11]. In contrast to the association between interpregnancy interval and perinatal outcomes, much less is known about the role of interpregnancy interval in childhood growth and development.
A recent study indicated a possible interactive effects of interpregnancy interval and maternal age on perinatal health outcomes [12]. During the past decades, there is a growing trend of delaying childbirth to later reproductive years all around the world, especially in higher-income countries [13, 14]. Previous studies have confirmed that maternal age is an important influential factor for both fetal and postnatal growth and development [14, 15]. Therefore, maternal age should be given full consideration when examining the impacts of interpregnancy interval on perinatal outcomes and childhood development. The current WHO recommendation for ideal interpregnancy interval is not less than 24 months after a live birth [16]. However, recent studies are challenging the recommendation [17–19]. For example, two studies suggested that interpregnancy interval of 12–24 months seems to have the lowest risk of adverse birth outcomes [18, 19]. One study further suggested lowering the recommendation to only 18 months and even shorter for women of advanced age against the background of increasing maternal age of childbearing [18]. In view of the debate on appropriate interpregnancy interval, this study was designed to explore the long-term impacts of interpregnancy interval on childhood growth and development. Specifically, we aimed to address two issues: (1) are there associations of interpregnancy interval with body mass index (BMI) and blood pressure (BP) at age of 7 years? (2) is maternal age involved in the associations and what’s the role of maternal age in this associations?
Methods
Study subjects
Participants in this study were selected from the Collaborative Perinatal Project (CPP). Detailed information on the CPP is available elsewhere [20]. Briefly, the CPP was a longitudinal cohort study that recruited 46,021 pregnant women with 56,990 pregnancies from 12 clinical sites in the US through 1959–1965. The women who came to these hospitals for prenatal care were invited to participate in the study, and their children were followed up until 7 years old.
This study focuses on pregnant women with two live singleton births. Among the 46,021 women, 2705 had two live singleton births during the enrollment period. A total of 101 women were excluded because of missing data on birthday of the first birth or/and the last menstrual data of the second birth. The final sample consisted of 2604 women with a mean age of 20.0 (SD = 3.8, ranging from 12.0 to 38.0) years at the preceding delivery and 21.7 (SD = 3.8, ranged from 13.0 to 40.0) years at the next. Among the 2604 children, 2263 (86.9%) were successfully followed at 1 year, and 2119 (81.4%) were followed at 7 years.
Definition of interpregnancy interval
The interpregnancy interval was calculated as the interval between the conception date of the subsequent pregnancy and the delivery date of the preceding pregnancy [1].
Maternal and perinatal characteristic
Maternal variables used in this study included race/ethnicity (white, black, and other [mostly Puerto Rican]), prepregnancy BMI (calculated as weight in kilograms divided by height in meters squared based on prepregnancy height and weight), maternal weight gain in pregnancy (calculated from prepregnancy weight to weight at delivery), marital status (married/cohabiting vs. none), educational level (≥12, 9–12, <9 years), socioeconomic status index (from 1 for the lowest to 5 for the highest), smoking during pregnancy (0, 1–9, and ≥12 number in cigarette/day), maternal diabetes (defined as gestational and/or pregestational diabetes, yes vs. no), and maternal chronic hypertension (defined as gestational and/or pregestational hypertension, yes vs. no).
Perinatal variables included gender, mode of labor onset (spontaneous, induced, and caesarean), birthweight, gender- and race-specific birthweight for gestational age group (small for gestational age (SGA, <10th percentile), appropriate for gestational age (AGA, 10th–90th percentile), and large for gestational age [LGA], ≥90th), Apgar scores at 1 and 5 min (0–4, 5–7, and 8–10), and feeding pattern (exclusively formula fed, exclusively breastfed, and mixed fed).
Among all these maternal and perinatal variables, maternal height and weight, blood pressure were measured in the hospital by clinical staff as part of the routine clinical care. Child height, weight, and blood pressure were measured by trained research staff at the follow-up visit. Information collected by questionnaire was collected throug in-person interview by trained research staff on a standard maternal questionnaire.
Assessment of postnatal growth, BMI and blood pressure
Detailed physical examinations, including length/height, weight and blood pressure measures, were performed at each visit following a standard procedure until 7 years old [20]. The weight at birth and at 1 year old was standardized as age- and gender-specific z sores based on the World Health Organization’s growth chart [21]. Weight gain in the first year of life was defined as the change in weight-for-age z scores between the birth and the end of the first year, and then categorized into 2 groups: rapid weight gain (change in z score, >0.67) and nonrapid weight gain (change in z score, ≤0.67) [22]. The BMI at 7 years was calculated based on weight and height (weight in kilograms divided by height in meters squared). The weight, height and BMI at 7 years were standardized as age- and gender-specific z sores using the US national reference data [23]. To obtain the z-score for a given measurement (x), the following equation was used: Z = {[(x/M)**L]−1}/LS (L≠0) or Z = ln (x/M)/S (L = 0) (M, median; S, the generalized coefficient of variation, and L, the power in the Box-Cox transformation) [23].
Statistical analyses
Summary statistics and distributional plots were checked for all variables. One-way ANOVA and Chi-square test were used to compare differences between groups where appropriate. Locally weighted nonparametric smoothing plots (SAS LOESS; SAS Institute, Cary, NC) were used to graphically examine the relationship between interpregnancy interval and maternal age at delivery. Similarly, LOESS was used to model the relationship of interpregnancy interval with childhood BMI z scores, SBP and DBP. BMI z scores, SBP and DBP were grouped into three maternal age groups for each week of interpregnancy interval. Stratified by maternal age groups (<20, 20–30, and ≥30 years), BMI z scores, SBP and DBP were plotted against interpregnancy interval.
Generalized linear regression models were further applied to estimate the crude and adjusted associations of interpregnancy interval with BMI z scores, SBP and DBP. Adjustments were made following a four-step procedure. Model 1 was adjusted for all maternal and perinatal variables (as shown in Table 1). In model 2a, postnatal variables such as feeding pattern and rapid weight gain in the first year of life, were further controlled. Previous studies have demonstrated that BMI and height are associated with blood pressure [24, 25]. Therefore, BMI z score and height z score at 7 years were additionally adjusted in model 2b. Subsequently, maternal age at delivery was added to determine the associations of maternal age at delivery and offspring’s BMI z score, SBP and DBP, and, meanwhile, to test whether maternal age mediates the associations. Finally, the interaction between interpregnancy interval and maternal age was simultaneously adjusted to examine if maternal age was an effect modifier in the association of interpregnancy interval with BMI z score, SBP and DBP.
Table 1.
Variables no (%) | Interpregnancy interval (months) | P value | Maternal age at 2nd delivery (years) | P value | ||||
---|---|---|---|---|---|---|---|---|
<6 (n = 787) | 6–24 (n = 1545) | ≥24 (n = 272) | <20 (n = 824) | 20–30 (n = 1664) | ≥30 (n = 116) | |||
Maternal characteristics | ||||||||
Maternal age at delivery, mean (SD), yrs | 20.55 (3.46) | 21.85 (3.81) | 23.74 (3.89) | <0.001 | 17.84 (1.15) | 22.78 (2.42) | 32.46 (2.48) | <0.001 |
Interpregnancy interval, mean (SD), mons | 3.89 (1.21) | 12.55 (4.79) | 33.61 (8.40) | <0.001 | 8.89 (7.18) | 12.70 (10.08) | 15.73 (11.18) | <0.001 |
Prepregnancy BMI, mean (SD), kg/m2 | 25.98 (3.90) | 25.82 (4.12) | 26.91 (4.00) | <0.001 | 25.79 (3.67) | 26.00 (4.18) | 27.15 (4.72) | 0.007 |
Weight gain in pregnancy, mean (SD), kg | 10.21 (4.96) | 10.41 (5.36) | 11.17 (6.04) | 0.042 | 10.73 (5.74) | 10.29 (5.10) | 10.25 (5.83) | 0.151 |
Race, % | 0.866 | <0.001 | ||||||
White | 58.18 | 58.42 | 56.25 | 38.20 | 66.87 | 74.14 | ||
Black | 37.72 | 37.82 | 40.81 | 59.49 | 28.80 | 19.83 | ||
Other | 0.64 | 0.78 | 1.10 | – | 0.96 | 3.45 | ||
Missing | 3.45 | 2.98 | 1.84 | 2.31 | 3.37 | 2.59 | ||
Marriage, % | 0.028 | <0.001 | ||||||
Yes | 88.31 | 84.40 | 83.82 | 74.88 | 90.14 | 94.83 | ||
No | 11.69 | 15.60 | 16.18 | 25.12 | 9.86 | 5.17 | ||
Education, yrs, % | 0.555 | <0.001 | ||||||
≥ 12 | 50.32 | 53.66 | 55.15 | 17.96 | 68.81 | 70.69 | ||
9–12 | 37.99 | 35.53 | 34.19 | 65.29 | 22.90 | 18.97 | ||
<9 | 11.69 | 10.81 | 10.66 | 16.75 | 8.29 | 10.34 | ||
Socioeconomic status index, % | 0 .001 | <.001 | ||||||
1 (lowest) | 5.06 | 4.29 | 3.32 | 9.77 | 1.90 | 2.61 | ||
2 | 27.63 | 24.27 | 15.50 | 41.29 | 16.77 | 13.04 | ||
3 | 31.52 | 29.75 | 33.58 | 33.75 | 29.25 | 29.57 | ||
4 | 24.77 | 25.86 | 28.78 | 12.73 | 32.44 | 24.35 | ||
5 (highest) | 10.25 | 15.44 | 18.45 | 1.36 | 19.40 | 30.43 | ||
Missing | 0.78 | 0.40 | 0.37 | 1.11 | 0.24 | – | ||
Smoking, number in cigarette/day, % | 0.379 | <0.001 | ||||||
0 | 52.18 | 52.31 | 153 (56.25) | 48.11 | 54.35 | 61.40 | ||
1–9 | 28.33 | 25.89 | 69 (25.37) | 34.31 | 23.01 | 22.81 | ||
≥10 | 19.49 | 21.80 | 50 (18.38) | 17.58 | 22.64 | 15.79 | ||
Pergestational/gestational diabetes, % | 0.966 | 0.892 | ||||||
No | 98.35 | 98.38 | 98.16 | 98.18 | 98.44 | 98.28 | ||
Yes | 1.65 | 1.62 | 1.84 | 1.82 | 1.56 | 1.72 | ||
Pergestational/gestational hypertension, % | 0.002 | |||||||
No | 83.35 | 81.10 | 73.53 | 80.95 | 81.25 | 77.59 | 0.623 | |
Yes | 16.65 | 18.90 | 26.47 | 19.05 | 18.75 | 22.41 | ||
Neonatal characteristics | ||||||||
Gender, % | 0.388 | 0.388 | ||||||
Male | 52.48 | 50.32 | 53.68 | 53.03 | 50.75 | 47.41 | ||
Female | 47.52 | 49.68 | 46.32 | 46.97 | 49.25 | 52.59 | ||
Mode of labor onset, % | 0.002 | 0.002 | ||||||
Induced | 1.40 | 2.35 | 2.95 | 1.58 | 2.24 | 4.31 | ||
Naturally | 93.49 | 91.34 | 85.24 | 94.53 | 90.25 | 84.48 | ||
Cesarean | 4.21 | 5.54 | 9.23 | 3.41 | 6.30 | 9.48 | ||
Missing | 0.89 | 0.78 | 2.58 | 0.49 | 1.21 | 1.72 | ||
Gestational age at birth, mean (SD), wk | 38.77 (3.04) | 38.72 (2.93) | 38.88 (2.53) | 0.702 | 38.12 (3.45) | 39.07 (2.60) | 38.67 (2.52) | <0.001 |
Birthweight, mean (SD), kg | 3.17 (0.53) | 3.22 (0.50) | 3.20 (0.48) | 0.085 | 3.09 (0.52) | 3.25 (0.51) | 3.22 (0.45) | <0.001 |
Birthweight, mean (SD), z score | −0.62 (1.12) | −0.52 (1.07) | −0.57 (1.04) | 0.083 | −0.77 (1.13) | −0.44 (1.04) | −0.52 (1.08) | <0.001 |
Birthweight for gestational age, % | 0.667 | 0.321 | ||||||
SGA | 9.81 | 9.05 | 8.68 | 10.71 | 8.59 | 7.96 | ||
AGA | 80.77 | 79.54 | 80.75 | 79.58 | 80.05 | 83.19 | ||
LGA | 9.42 | 11.40 | 10.57 | 9.71 | 11.36 | 8.85 | ||
Apgar score at 5 min, % | 0.661 | 0.036 | ||||||
0–4 | 3.30 | 3.41 | 4.20 | 2.55 | 3.90 | 3.54 | ||
5–7 | 3.70 | 2.68 | 3.44 | 4.46 | 2.47 | 1.77 | ||
8–10 | 93.00 | 93.91 | 92.37 | 92.98 | 93.63 | 94.69 | ||
Growth characteristics | ||||||||
Feeding pattern, % | 0.214 | <0.001 | ||||||
Exclusively breastfed | 7.93 | 10.86 | 9.51 | 5.20 | 11.48 | 19.30 | ||
Exclusively formular | 82.57 | 80.07 | 82.89 | 89.60 | 77.90 | 66.67 | ||
Mixed | 7.80 | 8.87 | 7.60 | 4.58 | 9.94 | 14.04 | ||
Missing | 1.69 | 0.20 | − | 0.62 | 0.68 | – | ||
Weight gain in the 1st yr, mean (SD), kg | 6.57 (1.18) | 6.61 (1.16) | 6.71 (1.22) | 0.296 | 6.49 (1.19) | 6.43 (1.16) | 6.89 (1.24) | <0.001 |
Weight gain in the 1st yr, mean (SD), z score | 0.41 (1.28) | 0.42 (1.22) | 0.49 (1.33) | 0.717 | 0.44 (1.29) | 0.40 (1.23) | 0.71 (1.31) | 0.214 |
Rapid weight gain in the first year, % | 0.869 | 0.147 | ||||||
Nonrapid | 66.84 | 66.41 | 65.07 | 65.78) | 67.25 | 58.62 | ||
Rapid | 33.16 | 33.59 | 34.93 | 34.22 | 32.75 | 41.38 | ||
Characteristics at 7 years | ||||||||
Weight, mean (SD), cm | 23.72 (3.93) | 23.96 (4.26) | 24.38 (4.48) | 0.124 | 23.66 (4.02) | 23.95 (4.20) | 25.55 (5.37) | <0.001 |
Weight, mean (SD), z score | 0.05 (0.94) | 0.09 (1.01) | 0.19 (1.01) | 0.214 | 0.03 (0.96) | 0.10 (0.99) | 0.43 (1.05) | 0.001 |
Height, mean (SD), kg/m2 | 121.26 (5.84) | 121.24 (6.01) | 121.27 (5.92) | 0.995 | 121.34 (5.95) | 121.16 (5.97) | 121.84 (6.56) | 0.502 |
Height, mean (SD), z score | −0.09 (1.06) | −0.10 (1.10) | −0.10 (1.08) | 0.997 | −0.07 (1.09) | −0.10 (1.09) | 0.02 (1.18) | 0.508 |
BMI, mean (SD), kg/m2 | 16.06 (1.72) | 16.18 (1.92) | 16.52 (2.09) | 0.007 | 15.97 (1.70) | 16.23 (1.97) | 17.08 (2.32) | <0.001 |
BMI, mean (SD), z score | 0.17 (0.89) | 0.21 (0.94) | 0.38 (0.91) | 0.013 | 0.12 (0.90) | 0.24 (0.95) | 0.62 (0.95) | <0.001 |
SBP, mean (SD), mmHg | 101.30 (10.38) | 101.60 (9.98) | 102.20 (10.37) | 0.521 | 100.70 (9.88) | 101.77 (10.27) | 105.07 (9.94) | <0.001 |
DBP, mean (SD), mmHg | 60.02 (9.75) | 60.62 (10.04) | 62.58 (9.32) | 0.005 | 59.78 (10.18) | 60.91 (9.70) | 62.97 (10.98) | 0.004 |
SGA small for gestational age, AGA appropriate for gestational age, LGA large for gestational age, BMI body mass index (calculated as weight in kilograms divided by height in meters square)
Finally, we undertook a sensitivity analysis in which we restricted our analyses to those children with appropriate birthweight for gestational age (n = 1997) based on the recent evidence that birthweight was directly associated with childhood blood pressure [26].
Results
Characteristics of participants
A total of 2604 woman-child pairs were included in this study. The mean interpregnancy interval was 12.1 (SD = 9.5) months. The mean maternal age was 20.0 (SD = 3.8) years at the preceding delivery and 21.7 (SD = 3.8) years at the index pregnancy. The corresponding gestational age was 39.1 (SD = 2.8) weeks and 38.8 (SD = 2.9) weeks, respectively. There was a trend of increased maternal age at the index pregnancy with lengthened interpregnancy interval (p < 0.001) (Fig. 1). Table 1 shows the detailed information of sample characteristics for different interpregnancy interval/maternal age groups. No differences were observed in maternal race and maternal education among the three interpregnancy interval groups. However, marital status and socioeconomic status index differed among the three groups, where it was shown that married women tended to have shorter interpregnancy interval and maternal higher socioeconomic status index correlated to longer interpregnancy interval.
The associations of interpregnancy interval, maternal age, and offspring’s BMI and BP
Figure 2 shows the smoothing distributions of BMI z score, systolic BP and diastolic BP with increasing interpregnancy interval, stratified by different maternal age groups. BMI z score and diastolic BP were positively associated with inerpregnancy interval, and the associations were independent of maternal age group.
Tables 2 and 3 present the crude and the adjusted associations of interpregnancy interval with offspring’s BMI and BP at 7 years, where interpregnancy interval and maternal age were analyzed as continuous (Table 2) and categorical (Table 3) variables, respectively. In crude models, we found independent associations of interpregnancy interval with offspring’s BMI z score and diastolic BP at 7 years, and this was consistent when interpregnancy interval was analyzed as either a continuous or categorical variable. The association between interpregnancy interval and diastolic BP remained statistically significant through three-step adjustment for potential confounders. From model 1 to model 2b, the effect size changed little. Further adjustment for maternal age at delivery in the model (model 3b) did not change the association between interpregnancy interval and offspring’s diastolic BP at 7 years, indicating no mediating effect of maternal age on the association. Finally, when examining the interaction effect between interpregnancy interval and maternal age at delivey in the associations of interpregnancy interval with offspring’s BMI and BP at 7 years, we found a significant interaction term in the association with diastolic BP, and this was valid when interpregnancy interval was analyzed as both a continuous (Table 2, p for interaction = 0.019) and categorical variable (Table 3, p for interaction = 0.049). The crude and the adjusted associations of maternal age with offspring’s BMI and blood pressure at 7 years were shown in Online Tables 1 and 2. After adjusting for confounders, the significant association between maternal age and BMI z score was established and the association was independent of interpregnancy interval.
Table 2.
Interpregnancy Interval (months) | Maternal Age (years) | |||
---|---|---|---|---|
β (95% CI) | P value | β (95% CI) | P value | |
BMI at 7 yrs, z score | ||||
Crude | 0.007 (0.003, 0.011) | <0.001 | ||
Adjusted | ||||
1 | 0.004 (0.001, 0.009) | 0.048 | ||
2a | 0.003 (-0.001, 0.007) | 0.134 | ||
3a | 0.002 (-0.003, 0.006) | 0.428 | 0.014 (0.001, 0.027) | 0.036 |
SBP at 7 yrs, mmHg | ||||
Crude | 0.020 (−0.026, 0.065) | 0.394 | ||
Adjusted | ||||
1 | 0.018 (0.032, 0.068) | 0.490 | ||
2a | 0.006 (−0.044, 0.055) | 0.824 | ||
2b | 0.003 (−0.046, 0.051) | 0.920 | ||
3b | −0.010 (−0.061, 0.040) | 0.693 | 0.123 (−0.026, 0.271) | 0.105 |
DBP at 7 yrs, mmHg | ||||
Crude | 0.057 (0.013, 0.101) | 0.012 | ||
Adjusted | ||||
1 | 0.058 (0.010, 0.106) | 0.021 | ||
2a | 0.054 (0.005, 0.104) | 0.031 | ||
2b | 0.053 (0.004, 0.102) | 0.033 | ||
3b* | 0.051 (0.001, 0.103) | 0.049 | 0.017 (−0.133, 0.167) | 0.824 |
Model 1: adjusted for infant gender, maternal race, maternal marriage status, SES, mother’s educational level, smoking status, pregestational/gestational diabetes, pergestational/gestational hypertension, gestational age, prepregnancy BMI, weight gain in pregnancy, mode of labor onset, birthweight for gestational age, Apgar score at 5 min
Model 2a: model 1 adjustments, as well as feeding pattern and rapid weight gain in the first year of life
Model 2b: model 2a adjustments, as well as BMI z score and height z score at 7 years
Model 3a: model 2a adjustments, as well as maternal age at delivery
Model 3b: model 2b adjustments, as well as maternal age at delivery
*P < 0.05 for interaction interpregnancy interval*maternal age
Table 3.
Interpregnancy interval (months) | Maternal age at delivery (years) | |||||||
---|---|---|---|---|---|---|---|---|
6–24 vs. <6 | ≥ 24 vs. <6 | 20–30 vs. <20 | ≥ 30 vs. <20 | |||||
β (95% CI) | P value | β (95% CI) | P value | β (95% CI) | P value | β (95% CI) | P value | |
BMI at 7 yrs, z score | ||||||||
Crude | 0.040 (−0.047, 0.128) | 0.369 | 0.212 (0.070, 0.353) | 0.003 | ||||
Adjusted | ||||||||
1 | 0.017 (−0.076, 0.109) | 0.725 | 0.134 (−0.016, 0.283) | 0.080 | ||||
2a | 0.003 (−0.088, 0.094) | 0.946 | 0.102 (−0.045, 0.244) | 0.175 | ||||
3a | −0.003 (−0.095, 0.089) | 0.948 | 0.084 (−0.066, 0.234) | 0.274 | −0.002 (−0.109, 0.104) | 0.965 | 0.287 (0.065, 0.510) | 0.012 |
SBP at 7 yrs, mmHg | ||||||||
Crude | 0.300 (−0.668, 1.268) | 0.544 | 0.903 (−0.661, 2.467) | 0.258 | ||||
Adjusted | ||||||||
1 | 0.447 (−0.633, 1.526) | 0.417 | 0.346 (−1.404, 2.095) | 0.699 | ||||
2a | 0.348 (−0.736, 1.431) | 0.529 | 0.085 (−1.663, 1.833) | 0.924 | ||||
2b | 0.306 (−0.744, 1.356) | 0.568 | −0.074 (−1.768, 1.620) | 0.932 | ||||
3b | 0.235 (−0.826, 1.295) | 0.665 | −0.260 (−1.991, 1.471) | 0.769 | 0.360 (−1.771, 0.742) | 0.422 | 0.103 (−2.526, 2.732) | 0.939 |
DBP at 7 yrs, mmHg | ||||||||
Crude | 0.579 (−0.366, 1.525) | 0.230 | 2.553 (1.025, 4.079) | 0.001 | ||||
Adjusted | ||||||||
1 | 0.046 (−1.019, 1.111) | 0.932 | 1.837 (0.111, 3.562) | 0.037 | ||||
2a | 0.004 (−1.071, 1.080) | 0.994 | 1.772 (0.039, 3.506) | 0.045 | ||||
2b | −0.056 (−1.124, 1.012) | 0.919 | 1.692 (0.003, 3.414) | 0.046 | ||||
3b* | −0.009 (−1.087, 1.069) | 0.987 | 1.794 (0.034, 3.554) | 0.046 | −0.515 (−1.771, 0.742) | 0.422 | 0.103 (−2.526, 2.732) | 0.939 |
Model 1: adjusted for infant gender, maternal race, maternal marriage status, SES, mother’s educational level, smoking status, pregestational/gestational diabetes, gestational age, prepregnancy BMI, weight gain in pregnancy, mode of labor onset, birthweight for gestational age, Apgar score at 5 min
Model 2a: model 1 adjustments, as well as birthweight, feeding pattern, rapid weight gain in the first year of life
Model 2b: model 2a adjustments, as well as BMI z score and height z score at 7 years
Model 3a: model 2a adjustments, as well as maternal age at delivery
Model 3b: model 2b adjustments, as well as maternal age at delivery
*P < 0.05 for interaction interpregnancy interval×maternal age
We regrouped our study sample into 9 groups in Fig. 3. A general pattern was found that offspring whose mother had longer interpregnancy interval and older maternal age had higher BMI z score and DBP in particular. When the above analyses were restricted to children with appropriate birthweight for gestational age (n = 1997), the results remained essentially the same (not shown).
Discussion
Our prospective cohort study shows that interpregnancy interval was independently positively associated with offspring’s diastolic BP, and maternal age was independently positively associated with offspring’s BMI z score at age 7 yrs. Increasing maternal age could amplify the individual association between interpregnancy interval and offspring’s diastolic BP. Interpregnancy interval ≥ 24 months, especially for women of advanced age, had long-term negative impacts on childhood health. This is the first study to report the long-term impacts of interpregnancy interval on childhood growth and development.
Growing evidence suggests that interpregnancy interval is associated with fetal growth and perinatal outcome; however, the results are inconsistent [2–7, 17–19]. Traditionally, short interpregnancy interval, defined as <6 months between the birth of one child and the conception of the next, is regarded as a risk factor for fetal and perinatal health [2–7]. The current WHO recommendation for ideal interpregnancy interval is no <24 months after a live birth [16]. However, a recent study re-evaluated and questioned the causal effect of interpregnancy interval on adverse birth outcomes after thorough adjustment for persistent maternal factor by using a within mother analysis [17]. The same study also pointed to the importance of taking maternal factors into account when evaluating the role of interpregnancy interval in maternal health and offspring’s growth and development [17]. Similarly, a few studies have questioned the WHO recommendation and suggested shortening the recommendation for ideal interpregnancy interval especially for women of advanced age [18, 19]. Our study did not identify the negative effect of short interpregnancy interval, whereas we found that lengthened interpregnancy interval was associated with offspring’s higher diastolic BP at 7 years, and the co-existing with older maternal age aggravated the effect. Based on our findings, an interpregnancy interval <24 months, especially for women older than 30 years is optimal for child health outcomes.
It is becoming a general recognition that perinatal events are involved in the fetal programming and developmental origins of health and disease [10, 11]. Epidemiological studies have identified a link between perinatal markers, such as maternal pre-pregnancy BMI, duration of pregnancy, birthweight, feeding pattern, and early postnatal growth, with offspring’s blood pressure and metabolic profile later in life [26–29]. After adjusting for all these factors and other possible confounders, we established a positive association between interpregnancy interval and offspring’s diastolic BP at 7 years, and the association was aggravated with increasing maternal age. Two previous studies found the relationship between short interpregnancy interval (<2–3 yrs) and a lower maternal mean arterial blood pressure in the following pregnancy [20, 30]. The possible mechanism is the cardiovascular adaptation achieved during one pregnancy, which may facilitate vascular compliance in the next pregnancy; and the established cardiovascular adaptation only maintain within relatively short interpregnancy interval [31]. We speculate that the cardiovascular adaptation may play a long-term role in offspring’s growth and metabolism since previous studies indicated that the cardiovascular adaptation may provide a more favorable environment for placental development, placental function, and fetal nutrition in the next pregnancy [32, 33].
In addition, it was reported that the advanced maternal age was associated with restricted uterine spiral vasculature volume [32]. Therefore, it is possible that advanced maternal age may adversely influence the development and duration of cardiovascular adaptation. This may explain, in part, why our study observed an aggravated effect of advanced maternal age on the positive association between interpregnancy interval and offspring’s blood pressure. In contrary to the association of interpregnancy interval with offspring’s childhood DBP, we did not establish the relationship between interpregnancy interval and offspring’s SBP, even with increasing maternal age. In view of the fact that the age of offspring in our study was still young, we considered that the relationship might arise at a later age. A recent study indicated that diastolic BP, compared to systolic BP, could be more sensitive to unfavorable environment and events in children and adolescent [34].
The main limitation of this study lies in the age of the data. Women in this study were generally young, and the total duration between the first recruitment and the last birth was only 6 years in CPP, which prevented us from exploring the effects of even longer interpregnancy intervals (longer than 3 yrs) and older maternal age (older than 35 yrs old). However, it is reasonable to deduce that the adverse effects would be aggravated. In addition, women are now entering pregnancy with a higher BMI, and this may increse the risk of pregnancy complications and the health risk of foetus [35]. The changes should also be taken into accout when understanding the findings.
Conclusion
Our study emphasizes the importance of optimal interpregnancy interval and maternal age in offspring’s health. Based on our findings, we would suggest lowering the recommendation of interpregnancy interval to no longer than 24 months and even shorter for women older than 30 years of age. As the age of women having their first child is increasing worldwide, our finding could be particularly relevant.
Summary
What is known about topic
Short interpregnancy interval, less than 6 months, with adverse birth outcomes.
Maternal age is an important influential factor for both fetal and postnatal growth and development.
What this study adds
Lengthened interpregnancy interval is a risk factor for higher childhood diastolic blood pressure.
Increasing maternal age is independently associated with offspring’s higher BMI.
There is an interaction between interpregnancy interval and maternal age in the development of childhood diastolic BP, in which increasing maternal age could aggravate the effects of prolonged interpregnancy interval.
We would suggest lowering the current WHO recommendation for ideal interpregnancy interval to less than 24 months and even shorter for women of advanced age.
Electronic supplementary material
Acknowledgements
This study was supported by the National Natural Science Foundation of China (81673183, 81072314), the Science and Technology Funds from Pudong New Area, Shanghai (PKJ2017-Y01), the Research Funds from Shanghai Jiaotong University School of Medicine (20170509-1), and Shanghai Municipal Health and Family Planning Commission (15GWZK0401).
Compliance with ethical standards
Conflict interest
The authors declare that they have no conflict of interest.
Footnotes
Electronic supplementary material
The online version of this article (10.1038/s41371-018-0035-4) contains supplementary material, which is available to authorized users.
Contributor Information
Shenghui Li, Email: lsh9907@163.com.
Jun Zhang, Email: zhangjun@xinhuamed.com.cn.
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